Evidence map›Paper›PMID 26179860›Full record

ArticleThe international journal of cardiovascular imaging2015

Ex vivo differential phase contrast and magnetic resonance imaging for characterization of human carotid atherosclerotic plaques.

Romana Meletta, Nicole Borel, Paul Stolzmann, Alberto Astolfo, Jan Klohs, Marco Stampanoni, Markus Rudin, Roger Schibli, Stefanie D Krämer, Adrienne Müller Herde

Abstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Quantitative Analysis of Lipid-Rich Necrotic Core in Carotid Atherosclerotic Plaques by In Vivo Magnetic Resonance Imaging and Clinical Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  3. Advanced MRI for carotid plaque imaging.The international journal of cardiovascular imaging · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Romana MelettaDepartment of Chemistry and Applied Biosciences of ETH Zurich, Center for Radiopharmaceutical Sciences ETH-PSI-USZ, Vladimir-Prelog-Weg 1-5/10, 8093, Zurich, Switzerland.
Nicole BorelInstitute of Veterinary Pathology, University of Zurich, Winterthurerstrasse 268, 8057, Zurich, Switzerland.
Paul StolzmannDepartment of Medical Imaging, University Hospital Zurich, Raemistrasse 100, 8006, Zurich, Switzerland.
Alberto AstolfoSwiss Light Source, Paul Scherrer Institute, 5232, Villigen-PSI, Switzerland.
Jan KlohsInstitute for Biomedical Engineering, and Center for Neuroscience Research, University and ETH Zurich ETH Zurich, Wolfgang-Pauli-Str. 27, 8093, Zurich, Switzerland.
Marco StampanoniSwiss Light Source, Paul Scherrer Institute, 5232, Villigen-PSI, Switzerland.
Markus RudinInstitute for Biomedical Engineering, and Center for Neuroscience Research, University and ETH Zurich ETH Zurich, Wolfgang-Pauli-Str. 27, 8093, Zurich, Switzerland.
Roger SchibliDepartment of Chemistry and Applied Biosciences of ETH Zurich, Center for Radiopharmaceutical Sciences ETH-PSI-USZ, Vladimir-Prelog-Weg 1-5/10, 8093, Zurich, Switzerland.
Stefanie D KrämerDepartment of Chemistry and Applied Biosciences of ETH Zurich, Center for Radiopharmaceutical Sciences ETH-PSI-USZ, Vladimir-Prelog-Weg 1-5/10, 8093, Zurich, Switzerland.
Adrienne Müller HerdeDepartment of Chemistry and Applied Biosciences of ETH Zurich, Center for Radiopharmaceutical Sciences ETH-PSI-USZ, Vladimir-Prelog-Weg 1-5/10, 8093, Zurich, Switzerland. adrienne.herde@pharma.ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive detection of specific atherosclerotic plaque components related to vulnerability is of high clinical relevance to prevent cerebrovascular events. The feasibility of magnetic resonance imaging (MRI) for characterization of plaque components was already demonstrated. We aimed to evaluate the potential of ex vivo differential phase contrast X-ray tomography (DPC) to accurately characterize human carotid plaque components in comparison to high field multicontrast MRI and histopathology. Two human plaque segments, obtained from carotid endarterectomy, classified according to criteria of the American Heart Association as stable and unstable plaque, were examined by ex vivo DPC tomography and multicontrast MRI (T1-, T2-, and proton density-weighted imaging, magnetization transfer contrast, diffusion-weighted imaging). To identify specific plaque components, the plaques were subsequently sectioned and stained for fibrous and cellular components, smooth muscle cells, hemosiderin, and fibrin. Histological data were then matched with DPC and MR images to define signal criteria for atherosclerotic plaque components. Characteristic structures, such as the lipid and necrotic core covered by a fibrous cap, calcification and hemosiderin deposits were delineated by histology and found with excellent sensitivity, resolution and accuracy in both imaging modalities. DPC tomography was superior to MRI regarding resolution and soft tissue contrast. Ex vivo DPC tomography allowed accurate identification of structures and components of atherosclerotic plaques at different lesion stages, in good correlation with histopathological findings.

Indexed as

Magnetic Resonance ImagingPlaque, AtheroscleroticAgedCarotid ArteriesCarotid Artery DiseasesEndarterectomy, CarotidFeasibility StudiesFibrosisHumansImaging, Three-DimensionalMaleNecrosisPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedTomography, X-RayVascular CalcificationAtherosclerosisCarotid plaqueDifferential phase contrastMagnetic resonance imagingSynchrotronX-rays

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.